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Updated: Jul 15, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Reduced Accuracy of Intake Screening Questionnaires Tied to Quality Metrics
Jodi Simon1, Jeffrey Panzer2,3, Katherine M Wright4
1AllianceChicago, Chicago, Illinois jsimon@alliancechicago.org.
Abstract:
Clinical workflows that prioritize repetitive patient intake screening to meet performance metrics may have unintended consequences. This retrospective analysis of electronic health record data from 24 Federally Qualified Health Centers assessed effectiveness and accuracy of the 2-item Patient Health Questionnaire (PHQ-2) for depression screening and Generalized Anxiety Disorder 2 (GAD-2) for anxiety screening from 2019 to 2021. Scores of over 91% of PHQ-2 and GAD-2 tests indicated low likelihood of depression or anxiety, which diverged markedly from published literature on screening outcomes. Visit-based screenings linked to performance metrics may not be delivering the intended value in a real-world setting and risk distracting clinical effort from other high value activities.
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